Update: Core Features Successfully Implemented
We have successfully implemented an end-to-end AI-powered healthcare platform focused on accessibility, automation, and early risk detection.
AI-Based Risk Prediction
We implemented machine learning models using XGBoost trained on real-world datasets to predict:
- Diabetes risk
- Hypertension risk
- Heart disease risk These models enable early detection and proactive healthcare decisions.
Smart Prescription & Health Records
We implemented:
- Handwritten prescription processing (digitization pipeline)
- Secure storage of patient health records using PostgreSQL
- Downloadable, auto-generated health reports
Automation & Emergency Support
We implemented:
- Automated medication and appointment reminders
- Emergency trigger system that:
- Alerts family members
- Connects to emergency services (112)
AI Automation Assistant (Multilingual)
We implemented a user-friendly assistant that:
- Supports multiple languages
- Helps users book appointments
- Allows voice/text interaction to access reports and services
- Simplifies usage for non-technical and rural users
Communication System
We implemented:
- Secure video and audio consultation
- Real-time messaging system (similar to WhatsApp) for doctor–patient communication
Security & Admin Verification
We implemented:
- JWT-based authentication for secure login
- Admin verification system for both patients and doctors
Our mission is to build an intelligent, inclusive healthcare ecosystem that bridges the gap between AI technology and real-world accessibility.
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